This subject will provide students with cutting-edge tools and techniques for high-performance and large-scale computing, with focus on computer models and software designed to handle Big Data sets in a distributed and/or parallel fashion. Particular focus will be given to distributed and parallel computing using Map-Reduce/Hadoop and similar models for processing Big Data sets.

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(MA5810 and admission to 300104 or 300504-MDSc or 300604-MDScProf) OR (admission to 115510 or 115810 plus MA2405 and MA3405)

(MA5810 and admission to 300104 or 300504-MDSc or 300604-MDScProf) OR (admission to 115510 or 115810 plus MA2405 and MA3405) Offerings: All

MA5831 - Advanced Data Management and Analysis using SAS

Advanced Data Management and Analysis using SAS

Choose and apply different techniques and software for distributed and cloud computing of Big Data, such as Hadoop

List the different systems and approaches for high-performance and large-scale computing, as well as explain their differences

Conceptually describe and apply models for distributed and parallel computing of Big Data sets, such as MapReduce and Spark